Remote Sensing Applications and Decision Support

Image quality assessment based on modulation transfer function for synthetic aperture radar systems

[+] Author Affiliations
Xin Lin, Kaizhi Wang, Junfeng Wang, Xingzhao Liu

Shanghai Jiao Tong University, Department of Electronic Engineering, 800 Dongchuan Road, Shanghai 200240, China

J. Appl. Remote Sens. 10(2), 026023 (May 25, 2016). doi:10.1117/1.JRS.10.026023
History: Received December 17, 2015; Accepted April 26, 2016
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Abstract.  The performance of synthetic aperture radar (SAR) image interpretation directly depends on the image quality. However, conventional SAR image-quality indicators are measured to check whether the SAR system has maintained its performance specifications, not to assess how well the SAR image can serve image interpretation. An SAR image-quality assessment method based on the modulation transfer function (MTF) is proposed for image interpretation, which jointly reflects the resolution and the contrast of the SAR image. In addition, it describes the imaging performance of the SAR system at different spatial frequencies. Specifically, we propose a feasible MTF test field and realize it in Shanghai Jiao Tong University, Shanghai, China. Then, we give the MTF measurement procedure and utilize the MTF curve to evaluate SAR image quality. Simulation results demonstrate that the proposed MTF-based method is more accurate to assess the SAR image quality than the conventional methods. In addition, the spaceborne SAR experiments are carried out by the TerraSAR-X sensor and the experimental results are given to confirm the benefits of the proposed method.

© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Xin Lin ; Kaizhi Wang ; Junfeng Wang and Xingzhao Liu
"Image quality assessment based on modulation transfer function for synthetic aperture radar systems", J. Appl. Remote Sens. 10(2), 026023 (May 25, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.026023


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